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2005 | OriginalPaper | Chapter
Efficient Learning Bayesian Networks Using PSO
Authors : Tao Du, S. S. Zhang, Zongjiang Wang
Published in: Computational Intelligence and Security
Publisher: Springer Berlin Heidelberg
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In this paper, we firstly introduce particle swarm optimization to the problem of learning Bayesian networks and propose a novel structure learning algorithm using PSO. To search in DAG spaces efficiently, a discrete PSO algorithm especially for structure learning is proposed based on the characteristics of Bayesian networks. The results of experiments show that our PSO based algorithm is fast for convergence and could obtain better structures compared with GA based algorithms.